Healey, Christopher G.Dinakaran, GowthamPadia, KalpeshNie, ShaoliangBenson, J. RileyCaira, DaveShaw, DeanCatalfu, GaryDevarajan, RaviBenes, Bedrich and Hauser, Helwig2021-10-082021-10-0820211467-8659https://doi.org/10.1111/cgf.14391https://diglib.eg.org:443/handle/10.1111/cgf14391This paper describes the design and implementation of a web‐based system to visualize large collections of text conversations integrated into a hierarchical four‐level‐of‐detail design. Viewers can visualize conversations: (1) in a streamgraph topic overview for a user‐specified time period; (2) as emotion patterns for a topic chosen from the streamgraph; (3) as semantic sequences for a user‐selected emotion pattern, and (4) as an emotion‐driven conversation graph for a single conversation. We collaborated with the Live Chatcustomer service group at SAS Institute to design and evaluate our system's strengths and limitations.Visual Analytics of Text Conversation Sentiment and Semantics10.1111/cgf.14391484-499